high performance computing on graphics processing units: hgpu.org

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A Modular Framework for Deformation and Fracture using GPU Shaders

Derek John Morris, Eike Falk Anderson, Christopher Peters

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 4870 X2, Computer science, DirectX, HLSL, nVidia, nVidia GeForce GT 230 M

October 19, 2012 by hgpu

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

Jan Krekan, Lubomir Dobos, Matus Pleva

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Tags: ATI, ATI Radeon HD 6850, Computer science, CUDA, Security

October 19, 2012 by hgpu

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

Ewa Niewiadomska-Szynkiewicz, Michal Marks, Jaroslaw Jantura, Mikolaj Podbielski

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Tags: ATI, ATI FirePro V7800, ATI Radeon HD 6970, Computer science, Distributed computing, GPU cluster, nVidia, OpenCL, Security, Tesla M2050

October 19, 2012 by hgpu

Efficient 2D Software Rendering

Peter Mileff, Judit Dudra

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Tags: ATI, ATI Radeon HD 5670, Computer science, OpenGL, Rasterization, Real-time graphics, Rendering, Review

October 18, 2012 by hgpu

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Carolin Wolf

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Tags: Algorithms, ATI, ATI Mobility Radeon HD 5470, ATI Radeon HD 4870, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenCL, Tesla M1060, Thesis

October 17, 2012 by hgpu

Generalized Resource Allocation for the Cloud

Anshul Rai, Ranjita Bhagwan, Saikat Guha

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Tags: ATI, ATI Radeon HD 6990, Cloud, Computer science, nVidia, OpenCL, Performance, Tesla C2075, Virtualization

October 17, 2012 by hgpu

Particle Filters on Multi-Core Processors

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: ATI, ATI Radeon HD 6970, Bayesian, Computer science, Computer vision, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Particle filtering

October 16, 2012 by hgpu

Parallel Programming using OpenCL on Modern Architectures

Allan Svejstrup Nielsen, Allan Peter Engsig-Karup, Bernd Dammann

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Tags: ATI, ATI Radeon HD 6990, Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 590, OpenCL, Overview, Tutorial

October 15, 2012 by hgpu

Kinetics of liquid-solid phase transition in large nickel clusters

Alexander V. Yakubovich, Gennady Sushko, Stefan Schramm, Andrey V. Solov'yov

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, Mesoscale and Nanoscale Physics, Molecular dynamics, OpenCL, Phase transition, Physics, Solidification

October 15, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 2012 by hgpu

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Accelerated protein structure comparison using TM-score-GPU

Ling-Hong Hung, Ram Samudrala

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Source codes

Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, Clustering, OpenCL, Package

October 5, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

A Modular Framework for Deformation and Fracture using GPU Shaders

Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

Efficient 2D Software Rendering

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Particle Filters on Multi-Core Processors

Parallel Programming using OpenCL on Modern Architectures

Kinetics of liquid-solid phase transition in large nickel clusters

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Accelerated protein structure comparison using TM-score-GPU

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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